class_docstr: A Conversational Question Answering Challenge.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "source": tfds.features.Text(),
                  "story": tfds.features.Text(),
                  "questions": tfds.features.Sequence(
                      tfds.features.Text()
                  ),
                  "answers": tfds.features.Sequence(
                      {
                          "input_text": tfds.features.Text(),
                          "answer_start": np.int32,
                          "answer_end": np.int32,
                      }
                  ),
              }
          ),
          supervised_keys=None,
          homepage=_HOMEPAGE_URL,
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/question_answering/coqa/coqa.py
imports: from __future__ import annotations
  import json
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Coqa obj's underlying member method code with example usage: obj._info() and returns: tfds